{
  "id": "AIBD-0597",
  "title": "Virginia pilots AI-assisted regulatory analysis, with savings attribution unresolved",
  "summary": "Vulcan Justinian analyzes Virginia regulations, but the reviewed reporting does not establish how much AI contributes to claimed economic savings.",
  "date_observed": "2025-09-25",
  "date_basis": "source publication",
  "date_precision": "day",
  "benefit_status": "intended",
  "source_collection": "AI Opportunity Inventory raw bank",
  "source_entry": "sheet-row-14-vulcan",
  "account": "Virginia’s Office of Regulatory Management commissioned a 2025 pilot of Vulcan’s AI-assisted regulatory analysis. Vulcan describes a system that maps legal provisions and drafts potential changes. VPM’s interviews with the company and the office’s director document a three-month, $150,000 contract and a process in which agencies review AI suggestions. VPM also distinguishes the state’s already-announced 25% regulatory reduction from the further reduction that officials intended AI to assist. The public reporting does not establish how much AI contributed to any economic savings. Researchers interviewed by VPM questioned whether reduced word or requirement counts demonstrated economic benefit. Statewide savings and housing-cost figures cannot establish money that Vulcan or AI saved. The date is the publication date of VPM’s report.",
  "category": "general benefit",
  "unexpected": false,
  "purpose": "Assist agencies in analyzing legal authority, identifying overlapping provisions, and preparing proposed regulatory changes.",
  "system": "Vulcan Justinian",
  "model_version": null,
  "developer": "Vulcan Technologies",
  "deployer": "Virginia Office of Regulatory Management and executive agencies",
  "location": "Virginia, United States",
  "domain": "Public administration",
  "segment": "Regulatory review",
  "benefit_type": "Improved Organizational Efficiency",
  "taxonomy_note": null,
  "registry_ids": {},
  "ratings": [
    {
      "group": "organizational",
      "depth": null,
      "reason": "The reviewed material does not establish a scoped benefit magnitude for this stakeholder group."
    }
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    "statement": "AI analyzes legal provisions and proposes changes for agency review. Earlier manual reform, policy choices, human review, and implementation are separate components. Their effects are not isolated."
  },
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    {
      "kind": "descriptive report",
      "citation": "Vulcan Technologies. Company launch account on Y Combinator. AI Legal Cartography and Virginia contract sections. Undated; accessed October 27, 2026.",
      "title": "Vulcan Technologies: AI Legal Cartography",
      "url": "https://www.ycombinator.com/companies/vulcan-technologies",
      "date": null,
      "written_by": "makers",
      "quote": null
    },
    {
      "kind": "news report",
      "citation": "Jahd Khalil. VPM, September 25, 2025, updated September 30. Opening contract and agency interviews, Full effects of regulatory change are unclear, and Thousands of agents running concurrently.",
      "title": "Youngkin turns to AI firm in quest to cut 35% of state regulations",
      "url": "https://www.vpm.org/news/2025-09-25/glenn-youngkin-vulcan-tech-ai-state-regulations-jones-bull-coglianese/",
      "date": "2025-09-25",
      "written_by": "independent",
      "quote": null,
      "supports_benefit": false
    },
    {
      "kind": "other",
      "citation": "Vulcan Technologies. Current product page, accessed October 27, 2026. Justinian description and Virginia ORM deployment listing.",
      "title": "VULCAN: Frontier AI for Government",
      "url": "https://vulcan.ai/",
      "date": null,
      "written_by": "makers",
      "quote": null,
      "supports_benefit": false
    }
  ],
  "replication": {
    "produced_by": [
      "The pilot combined AI analysis with government staff review of suggested regulatory changes."
    ],
    "must_hold": [
      "Proposed changes need legal and policy review.",
      "Net benefits and costs require outcome analysis that separates AI assistance from prior reform and implementation."
    ],
    "echoes": []
  },
  "paired_incident": null,
  "headline": "Virginia tests AI to help agencies review regulations",
  "metric": null,
  "comparator": null,
  "later": null,
  "value": null,
  "developer_country": null,
  "deployer_country": null,
  "unrated_because": "The source review does not establish the magnitude of a benefit attributable to AI.",
  "brief_notes": null,
  "brief": null,
  "revisions": [
    {
      "date": "2026-10-27",
      "change": "Added the case from the AI Opportunity Inventory lead and reviewed public evidence, preserving source relationships and limits on benefit claims.",
      "source": "https://www.ycombinator.com/companies/vulcan-technologies",
      "editor": "AIBD"
    }
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  "confidence": "claimed",
  "shade": "low",
  "claim_status": "The makers' claim",
  "claim_basis": "Sources: one independent news report, the makers' descriptive report and the makers' other. For the benefit itself, the cited sources include no independent source and no finding by a regulator or court.",
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                "url": "https://www.governor.virginia.gov/media/governorvirginiagov/governor-of-virginia/pdf/eo/EO-51---First-In-The-Nation-Agentic-Artificial-Intelligence-(AI)-Empowered-Statewide-Regulatory-Review---FINAL-UPDATED.pdf",
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        "review_state": "not_assessed",
        "coverage": "partial"
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      "title": {
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        "coverage": "complete"
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      "workflow": {
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        "value": {
          "kind": "record_fields",
          "fields": {
            "account": "Virginia’s Office of Regulatory Management commissioned a 2025 pilot of Vulcan’s AI-assisted regulatory analysis. Vulcan describes a system that maps legal provisions and drafts potential changes. VPM’s interviews with the company and the office’s director document a three-month, $150,000 contract and a process in which agencies review AI suggestions. VPM also distinguishes the state’s already-announced 25% regulatory reduction from the further reduction that officials intended AI to assist. The public reporting does not establish how much AI contributed to any economic savings. Researchers interviewed by VPM questioned whether reduced word or requirement counts demonstrated economic benefit. Statewide savings and housing-cost figures cannot establish money that Vulcan or AI saved. The date is the publication date of VPM’s report.",
            "replication": {
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              ],
              "must_hold": [
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              "echoes": []
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        },
        "provenance": {
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          "record_fields": [
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    },
    "summary": {
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      "addressed": 91,
      "known": 32,
      "reviewed": 18,
      "reviewed_complete": 17,
      "reviewed_partial": 1,
      "record_mapped": 14,
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      "not_assessed": 59,
      "complete": false,
      "by_state": {
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        "not_reported": 0,
        "unresolved": 0,
        "not_assessed": 59,
        "not_applicable": 0,
        "withheld": 0,
        "source_unavailable": 0
      }
    }
  }
}